摘要
提出了一种基于神经和模糊方法的手写体邮件地址的识别方案,并详细分析了神经和模糊方法应用于手写体识别问题的3种技巧:指派字符可信度值,给出字符分段上下文信息,利用模糊积分汇总字符的可信度值。
This paper presents a mail address recognition technology based on neural and fuzzy methods. We analyse threetechniques for applying neural and fuzzy methods to handwritten address recognition problem: assigning character confidence values, giving the segments contextual information and aggregating character confidence values by means of fuzzy integrals.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
1998年第9期21-22,38,共3页
Computer Engineering
关键词
神经网络
模糊逻辑
邮件地址
识别
Handwriting recognition
Neural network
Fuzzy logic
MLFN
Fuzzy Integral